Program Duration
55 Hours
Level
Level 2
Prerequisite Course
Machine Learning & Data Science Level 1
Course Objective
If you have been considering getting into Data Visualization using Tableau & Advanced Machine Learning and if you are curious what this field is all about, now is the time to start. Data science & Machine Learning jobs are becoming increasingly in demand as big data and technology industries grow. Data science is the field of study that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data. On the other hand, Machine learning analyzes and examines large chunks of data automatically. It automates the data analysis process and makes predictions in real time without any human involvement. You can further build and train the data model to make real-time predictions.
With a background in machine learning, you can get a high-paying job as a Machine Learning Engineer, Data Scientist, Python/R Developer, Human-Centered Machine Learning Designer, Tableau Expert and various other profiles.
Who This Course is for?
- This course is structured for any undergraduate or job seeker who wants to start his career in the Data Science & Machine Learning field.
- The individual should have basic knowledge of Python, ML libraries and basic ML.
- Any working professional with experience in the non-IT domain and looking to enter the IT field.
- Any Fresh graduate or post-graduate looking to secure a career in the IT domain.
Why Join Us
- Learn R Programming & Data Science.
- Learn Data Visualization & Advanced Machine learning in an industrial environment with practical demonstrations and live scenarios.
- Learn from our experienced and skilled Data Scientists who will be providing training systematically.
- High-Quality Standard Maintenance in each session delivery.
- Train on real projects to enhance your skills and make yourself industry-ready.
- Learn corporate ethics and moral code of conduct.
| Sr. No. | Topics |
| 1. | SUPERVISED LEARNING |
| 2. | UNSUPERVISED LEARNING |
| 3. | Introduction to R |
| 4. | Data Visualization |
| 5. | Statistics in R |
| 6. | Implementing ML in R |
| 7. | Tableau Basics |
| 8. | Tableau Intermediate |
| 9. | Tableau Dashboard and Story |
| 10. | AI in Tableau |
Learning Outcome
- This Course will make you a Proficient Data Scientist and a Machine Learning Engineer.
- At the end of this course, you will have a solid understanding of Python Programming, Data visualization using R, concepts used for Data Science & Machine Learning Algorithms on Real Projects.
- Complete understanding of different types of Machine Learning Algorithms with practical demonstration.
- Complete Understanding of AI based Tableau Dashboarding and Storytelling.
- Practical exposure to various projects to hone hands-on expertise.
